• Univ.-Prof. Dipl.-Ing. Dr.techn. Christian Ramsauer - Graz University of Technology, Austria

  • Prof. Dr.-Ing. Prof. h. c. Eberhard Abele - Technical University Darmstadt, Germany

  • Prof. Dr.-Ing. Joachim Metternich - Technical University Darmstadt, Germany

  • Dr.-Ing. Fazel Ansari - Vienna University of Technology, Austria

  • Prof. Ragu Athinarayanan - Purdue University, United States of America

  • Prof. Cai Wen Tong - Nanyang Technological University

  • Mr. David Chai - Singapore Polytechnic, Singapore

  • Dr. Daniel Cheong - Industrial Internet-of-Things Innovation, Singapore

  • Dr. Cui Shan - National Metrology Centre, Singapore

  • Mr. Murali Das - Advanced Remanufacturing and Technology Centre, Singapore

  • Mr. Ding Xiaoming - Nanyang Polytechnic, Singapore

  • Prof. Dr.-Ing. Christoph Herrmann - Technische Universität Braunschweig, Germany

  • Prof. Dr.-Ing. Vera Hummel - Reutlingen University, Germany

  • Mr. Khoo Hock - Temasek Polytechnic, Singapore

  • Prof. Dr.-Ing. Bernd Kuhlenkötter - Ruhr-Universität Bochum, Germany

  • Prof. Dr.-Ing. Gisela Lanza - Karlsruhe Institute of Technology, Germany

  • Dr. Li Xiaoli - Institute for Infocomm Research, Singapore

  • Prof. Dr.-Ing. Louis Louw - Stellenbosch University, South Africa

  • Assoc. Prof. Lu Wen Feng - National University of Singapore, Singapore

  • Dr. Mohd Ridzuan Darun - Universiti Malaysia Pahang, Malaysia

  • Prof. Dimitris Mourtzis - University of Patras, Greece

  • Dr. Jamie Ng Suat Ling - Institute for Infocomm Research, Singapore

  • Dr. Ng Lai Xing - Institute for Infocomm Research, Singapore

  • Prof. Dr. Peter Plapper - Université du Luxembourg, Luxembourg

  • Asst. Prof. Mahardhika Pratama - Nanyang Technological University, Singapore

  • Asst. Prof. Qi Cao - University of Glasgow, United Kingdom

  • Prof. Dr.-Ing. Sebastian Schlund  - Vienna University of Technology, Austria

  • Prof. Dr.-Ing. Wilfried Sihn  - Vienna University of Technology, Austria

  • Dr. Sun Sumei - Institute for Infocomm Research, Singapore

  • Assoc. Prof. Francis Tay - National University of Singapore, Singapore

  • Prof. Dr.-Ing. Sebastian Thiede - The University of Twente, Netherlands

  • Prof. Dr.sc. Ivica Veža - University of Split, Croatia

  • Dr. Wan Kong Wah - Institute for Infocomm Research, Singapore

  • Assoc. Prof. Wang Xiaonan - Tsinghua University, China

  • Ass.Prof. Dipl.-Ing. Dr.techn. BSc Matthias Wolf - Graz University of Technology, Austria

  • Dr. Xue Yang - Institute for Infocomm Research, Singapore

  • Asst. Prof. Zhai Wei - National University of Singapore, Singapore

  • Prof. Dr.-Ing. Weimin Zhang - Tongji University, China

  • Assoc. Prof. Zhang Jie - Nanyang Technological University, Singapore

Scientific Committee

Scientific Committee

We are proud to present our international scientific committee for the 12th Conference on Learning Factories 2022

Scientific Advisor

Scientific Committee

Prof. Ong Yew Soon

Nanyang Technological University, Singapore

Our Committee

Dr Tan Puay Siew

Ms Connie Ng

Dr Ng Huey Yuen

Dr Joel Tay

Mr Wang Yi

Organising Committee

Ms Veronica Chiu

Mr Kelvin Goh

Ms Charmaine Goh

Ms Jennifer Hing

Ms Nurul Ain Mohamed Ibrahim

Ms Shannelle Loh

About SIMTech

The Singapore Institute of Manufacturing Technology (SIMTech) develops high-value manufacturing technology and human capital to enhance the competitiveness of Singapore’s manufacturing industry. It collaborates with various multinational and local companies in the precision engineering, medtech, aerospace, automotive, marine, oil & gas, electronics, semiconductor, logistics, and other sectors.

SIMTech is a research institute of the Agency for Science, Technology and Research (A*STAR). For more information, please click here 

Industry Assist

Building technology capabilities through individual company-funded projects, Collaborative Industry Projects (CIPs), consortiaand sharing of research facilities.

Knowledge Transfer

Filling skills or technology gaps via SkillsFuture training courses using Learn-Practise-Implement model, Annual Manufacturing Forum - SIMTech flagship conference-conference, lecture, seminar, workshop, customised short course and master class.

Technology Transfer

Sharing SIMTech-developed technology with industry through Technology Licensing, Open Innovation and Risk Sharing in commercialisation.

Manpower Sharing and Transfer

Providing access to R&D expertise via Technology for Enterprise Capability Upgrading (T-UP), Staff Attachment and Technical Advisors.

We are committed to serve the manufacturing industry to develop the industrial, intellectual and human capital. We achieve these by:

Model Factory
The Model Factory@SIMTech features an actual production environment that allows for experiential experimentation and learning of digitalisation technologies for Industry 4.0. Model Factory@SIMTech is part of the Manufacturing Control Tower™ (MCT™) program, which the focus will be on digitalisation technologies.

From a research viewpoint, the environment provides an ideal platform for the development of critical technologies such as Cyber-Physical Production Systems (CPPS) and flexible automation across the three layers in a manufacturing environment, namely Shopfloor, Enterprise and Supply Chain. This will provide the essential platform for understanding the Sense & Response manufacturing paradigm, and the means to prototype new technologies, as a continuous learning journey for MCT™.

From an industry viewpoint, it provides a platform for companies to learn, experiment and most importantly, co-create new technologies for the next-generation factories. The next-generation manufacturing technologies will require skill sets that are multi-disciplinary in nature and require continuous learning. The Model Factory@SIMTech will be able to provide these critical learning and practice opportunities through SIMTech’s proven Learn-Practise-Implement (LPI) model before actual implementation on-site.

Manufacturing Control Tower (MCT ™)

Manufacturing Control Tower (MCT™) strives to provide total visibility and smart on-the-go decision tools across all operations in a Sense and
Response manufacturing environment.

MCT™ solutions aims to have entire operations in your palm, with on-the-go smart tools made simple and modular. They are powered by our decision support engines, which are robust industry-tested algorithms paired with state-of-the-art capabilities enabled by research in manufacturing
system technologies.

MCT™ platform is an open-platform that enables a ubiquitous and complete digital thread across all levels of a business, from Shopfloor » Enterprise » Supply Chain.



Technische Universität Darmstadt, Germany


TU Wien, Austria


Technical University of Munich, Germany


KTH Royal Institute of Technology in Stockholm, Sweden


Ruhr-Universität Bochum, Germany


Norwegian University of Science and Technology in Gjøvik, Norway


Technische Universität Darmstadt, Germany


University of Patras, Greece


Technische Universität Braunschweig, Germany


Technische Universität Graz, Austria


Technische Universität Graz, Austria

The Conference on Learning Factories 2022 will be held in Singapore. CLF 2022 will focus on “Learning Factories – I4.0 and Beyond”.

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